SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 13511375 of 10419 papers

TitleStatusHype
No Routing Needed Between CapsulesCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
A Survey of Classical And Quantum Sequence ModelsCode1
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
Active Learning for Convolutional Neural Networks: A Core-Set ApproachCode1
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesCode1
batchboost: regularization for stabilizing training with resistance to underfitting & overfittingCode1
AdaptiveMix: Improving GAN Training via Feature Space ShrinkageCode1
Cross-Iteration Batch NormalizationCode1
Cross-modal Adversarial ReprogrammingCode1
Focal Attention for Long-Range Interactions in Vision TransformersCode1
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image ClassificationCode1
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftCode1
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image ClassificationCode1
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image RecognitionCode1
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance LearningCode1
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image ClassificationCode1
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image ClassificationCode1
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image ClassificationCode1
Freestyle Layout-to-Image SynthesisCode1
Bayesian continual learning and forgetting in neural networksCode1
Frequency Attention for Knowledge DistillationCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified